Evidence on the Information Content of Text in Analyst Reports

By Allen H. Huang, Amy Y. Zang, Rong Zheng. 2014

403 citations recorded by the source corpus.

Subfields: Accounting, Finance

View Paper: https://www.semanticscholar.org/paper/bb4dfc83714d4b3987ced718bf620aa039c0aec4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Camila C. Pereira
2. Allen H. Huang
3. Amy Y. Zang
4. Rong Zheng
5. Reuven Lehavy
6. Martin Walker
7. Mohammad Alhadab
8. Daniel A. Cohen

In Finance

1. Camila C. Pereira
2. Amy Y. Zang
3. Allen H. Huang
4. Rong Zheng
5. Reuven Lehavy

Citations in the corpus

• Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach (2018, positive): “17 We follow the procedures described in Huang et al. (2014) to classify each sentence as positive, negative, or neutral with the naïve Bayes algorithm.”
• Textual analysis in finance (2019, methodology): “…of this method, we can cite Brown and Tucker skassy (2008); Li (2010); Loughran and McDonald (2011); Garćıa (2013); Jegadeesh and Wu (2013); Huang, Zang, and Zheng (2014); Liu and McConnell (2013); Ferguson, Philip, Lam, and Guo (2015); Agarwal, Chen, and Zhang (2016); Tsai, Lu, and Hung…”